Parametric Design of Coupled Adaptive Self-Organizing Sliding-Mode Fuzzy Controller in a Valve-Controlled Folding Machine

Abstract

The double-axial valve-controlled folding machine is a coupled system. This paper proposes a coupled adaptive self-organizing sliding-mode fuzzy controller (CASOSMFC) to improve its level control performance. CASOSMFC has two basic single-axial sliding-mode fuzzy controllers, self-learning fuzzy rule mechanisms, adaptive laws, coupled controllers and regulators. Then, base on variety parameters to study their parametric effects individually. Experimental results indicate that the learning rate can reduce error of steady state to improve the tracking performance. Adaptive law improves tracking error. Coupled controllers and regulators improve synchronous error.